


'''simple docstring'''
import gc
import threading
import time

import psutil
import torch




class        _UpperCamelCase	:


				'''simple docstring'''


				def __init__(     self							)    ->  List[str]:
					lowercase						:		Any   					=		psutil.Process()
					lowercase						:		Optional[int]   					=		False

				def 	a__		(     self							)    ->  List[str]:
					lowercase						:		Optional[Any]   					=		-1

					while True:
						lowercase						:		Optional[int]   					=		max(self.process.memory_info().rss							,      self.cpu_memory_peak							)

						# can't sleep or will not catch the peak right (this comment is here on purpose)
						if not self.peak_monitoring:
							break

				def 	a__		(     self							)    ->  Optional[int]:
					lowercase						:		str   					=		True
					lowercase						:		Dict   					=		threading.Thread(target=self.peak_monitor							)
					lowercase						:		Dict   					=		True
					self.thread.start()


				def 	a__		(     self							)    ->  Any:
					lowercase						:		Optional[int]   					=		False
					self.thread.join()
					return self.cpu_memory_peak


lowerCAmelCase   : str             =				PeakCPUMemory()




def 	_A  (       )  ->				Union[str, Any]:
	lowercase						:		Dict   					=		{"""time""": time.time()}

	gc.collect()
	torch.cuda.empty_cache()

	# CPU mem
	lowercase						:		List[Any]   					=		psutil.Process().memory_info().rss
	cpu_peak_tracker.start()

	# GPU mem
	for i in range(torch.cuda.device_count()							):
		lowercase						:		int   					=		torch.cuda.memory_allocated(a__							)
	torch.cuda.reset_peak_memory_stats()

	return measures




def 	_A  (       A							)  ->				Optional[Any]:
	lowercase						:		Union[str, Any]   					=		{"""time""": time.time() - start_measures["""time"""]}

	gc.collect()
	torch.cuda.empty_cache()

	# CPU mem
	lowercase						:		Tuple   					=		(psutil.Process().memory_info().rss - start_measures["""cpu"""]) / 2**2_0
	lowercase						:		Union[str, Any]   					=		(cpu_peak_tracker.stop() - start_measures["""cpu"""]) / 2**2_0

	# GPU mem
	for i in range(torch.cuda.device_count()							):
		lowercase						:		List[str]   					=		(torch.cuda.memory_allocated(a__							) - start_measures[str(a__							)]) / 2**2_0
		lowercase						:		int   					=		(torch.cuda.max_memory_allocated(a__							) - start_measures[str(a__							)]) / 2**2_0

	return measures






def 	_A  (       A							,A							)  ->				Union[str, Any]:
	print(F'''{description}:'''							)
	print(F'''- Time: {measures['time']:.2f}s'''							)
	for i in range(torch.cuda.device_count()							):
		print(F'''- GPU {i} allocated: {measures[str(a__							)]:.2f}MiB'''							)
		lowercase						:		Tuple   					=		measures[F'''{i}-peak''']
		print(F'''- GPU {i} peak: {peak:.2f}MiB'''							)
	print(F'''- CPU RAM allocated: {measures['cpu']:.2f}MiB'''							)
	print(F'''- CPU RAM peak: {measures['cpu-peak']:.2f}MiB'''							)





from __future__ import annotations

# This is the precision for this function which can be altered.
# It is recommended for users to keep this number greater than or equal to 10.
__snake_case				:      Optional[Any]   		=			10


def 					_UpperCAmelCase				(						a__  ,	a__  ,	a__  ,	a__):

			'''simple docstring'''



			for i in range(a__  ,	a__):
						if array[i] == target:
									return i
			return -1


def 					_UpperCAmelCase				(						a__  ,	a__):

			'''simple docstring'''



			a_						:						Any 							= 0
			a_						:						List[str] 							= len(a__)
			while left <= right:
						if right - left < precision:
									return lin_search(a__  ,	a__  ,	a__  ,	a__)

						a_						:						Dict 							= (left + right) // 3 + 1
						a_						:						Optional[Any] 							= 2 * (left + right) // 3 + 1

						if array[one_third] == target:
									return one_third
						elif array[two_third] == target:
									return two_third

						elif target < array[one_third]:
									a_						:						int 							= one_third - 1
						elif array[two_third] < target:
									a_						:						Any 							= two_third + 1

						else:
									a_						:						Optional[int] 							= one_third + 1
									a_						:						int 							= two_third - 1
			else:
						return -1


def 					_UpperCAmelCase				(						a__  ,	a__  ,	a__  ,	a__):

			'''simple docstring'''



			if left < right:
						if right - left < precision:
									return lin_search(a__  ,	a__  ,	a__  ,	a__)
						a_						:						Optional[int] 							= (left + right) // 3 + 1
						a_						:						Union[str, Any] 							= 2 * (left + right) // 3 + 1

						if array[one_third] == target:
									return one_third
						elif array[two_third] == target:
									return two_third

						elif target < array[one_third]:
									return rec_ternary_search(a__  ,	one_third - 1  ,	a__  ,	a__)
						elif array[two_third] < target:
									return rec_ternary_search(two_third + 1  ,	a__  ,	a__  ,	a__)
						else:
									return rec_ternary_search(one_third + 1  ,	two_third - 1  ,	a__  ,	a__)
			else:
						return -1


if __name__ == "__main__":
	import doctest

	doctest.testmod()

	__snake_case				:      Optional[int]   		=			input("""Enter numbers separated by comma:\n""").strip()
	__snake_case				:      Optional[int]   		=			[int(item.strip()) for item in user_input.split(""",""")]
	assert collection == sorted(collection), F"List must be ordered.\n{collection}."
	__snake_case				:      int   		=			int(input("""Enter the number to be found in the list:\n""").strip())
	__snake_case				:      List[Any]   		=			ite_ternary_search(collection, target)
	__snake_case				:      Optional[int]   		=			rec_ternary_search(0, len(collection) - 1, collection, target)
	if resulta != -1:
		print(F"""Iterative search: {target} found at positions: {resulta}""")
		print(F"""Recursive search: {target} found at positions: {resulta}""")
	else:
		print("""Not found""")


